60ef23d6c1
ggml-cpu: enable IBM NNPA Vector Intrinsics ( #14317 )
...
* ggml-cpu: add nnpa compile flag
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
(cherry picked from commit 4a9f60c201aaron.teo1@ibm.com >
(cherry picked from commit 8d4a7987f9aaron.teo1@ibm.com >
(cherry picked from commit 0ff0d65162aaron.teo1@ibm.com >
(cherry picked from commit 2f58bbcbb8aaron.teo1@ibm.com >
(cherry picked from commit 01b929491baaron.teo1@ibm.com >
* ggml-cpu: fix print vs printf
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix float placeholder
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: ensure fp16 and fp32 load and stores are called
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fp16 load ensured to hit
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: remove sigint from fp16 store
for some reason, the function is not getting a hit when debugged with
gdb. we will need to investigate further
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: activate nnpa for ggml_cpu_fp16_to_fp32
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: nnpa activate ggml_cpu_fp16_to_fp32 for 8 elements
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: nnpa switch to vec_xst test
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: switch to vec_xst for 4 element loops also
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: rework noop
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: remove noop, general code cleanup
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: clarify variable naming
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: activate nnpa for ggml_cpu_fp32_to_fp16
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add breakpoint for debugging
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: test fix for conversion failure
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: disable fp32->fp16 nnpa conversions for now
there are some conversion failures in nnpa that requires the eyes of an
ibm stsm. will create a separate pr to introduce the fp32->fp16 change.
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: switch to elif macro
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: reattempt fp32->fp16
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix typo
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: reattempt fp32->fp16
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix compiler types
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: change to typedef vector types
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add 4 element loops for fp32->fp16
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: clarified vector naming
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: bring back fp32->fp16 store nnpa
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: activate nnpa fp32->fp16 or fp16->fp32 compute
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add nnpa macro check in ggml-impl
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add missing __func__
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: diagnose why __NNPA__ macro is not being defined
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: import vecintrin.h to fix compiler errors
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: update macro tests
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: move s390x typedef to own header file
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* Revert "ggml-cpu: move s390x typedef to own header file"
This reverts commit 157f856c34aaron.teo1@ibm.com >
* ggml-cpu: switch to importing ggml-cpu-impl instead
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix macro declaration
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: test more macros
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add debug prints
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: bruteforce macro definitions
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: move macro definitions
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add ggml-impl.h to cmakelists
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: switch to private macros
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: move s390x typedef to own header file
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
(cherry picked from commit 157f856c34aaron.teo1@ibm.com >
* ggml-cpu: bring back compile macros
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: switch to quotes for import
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add compiler error macro
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add s390x detection in ggml-src
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: bring back compile definitions
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: undo cmakelists work
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* Revert "ggml-cpu: move s390x typedef to own header file"
This reverts commit 18d79e1a30aaron.teo1@ibm.com >
* ggml-cpu: remove typedefs.h
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: remove typedef from cmakelists
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add ggml-impl.h future notes
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: add todo comment for future reference
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: clarify naming of dlf16
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: remove unnecessary target compile definitions
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: move nnpa fp16->fp32 and fp32->fp16 to simd-mappings
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: refactor fp32->fp16 and fp16->fp32 simd to ggml-cpu
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* docs: update broken huggingface link for s390x
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix duplicate func names during compile
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* Revert "ggml-cpu: fix duplicate func names during compile"
This reverts commit fbb733451faaron.teo1@ibm.com >
* Revert "ggml: refactor fp32->fp16 and fp16->fp32 simd to ggml-cpu"
This reverts commit bd288e8fa5aaron.teo1@ibm.com >
* ggml: refactor fp16<->fp32 simd to ggml-cpu
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix missing simd-mappings.h import in quants.c
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix missing simd-mappings.h within repack
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix amx mmq missing simd-mappings.h
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: attempt at fixing loongarch failing build
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: move nnpa together with other fp16<->fp32 simd
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: fix wrong refactor of ggml-base
ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164176555
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: remove dependency on ggml-cpu from ggml-base
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: rename all fp16<->fp32 macros to prefix with ggml_cpu
ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164449406
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: remove mistaken fallback macro
fallback logic was already implemented but i was too sleepy to realise
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: move ggml_table_f32_f16 to ggml-cpu
ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164775006
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* Revert "ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures"
This reverts commit 32a3533564aaron.teo1@ibm.com >
* Revert "ggml: move ggml_table_f32_f16 to ggml-cpu"
This reverts commit 9e40d984adaaron.teo1@ibm.com >
* ggml: move ggml_table_f32_f16 to ggml-cpu
ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164775006
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
(cherry picked from commit 9e40d984adaaron.teo1@ibm.com >
* ggml-cpu: extern c ggml_table_f32_f16 + chore docs
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml-cpu: dedup ggml_table_f32_f16 from simd-mappings.h
we rely on the variable declaration in ggml-cpu.c instead
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* Revert "ggml-cpu: dedup ggml_table_f32_f16 from simd-mappings.h"
This reverts commit f71b21d2f7aaron.teo1@ibm.com >
* ggml-cpu: bring back ggml_table_f32_f16
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* Revert "ggml-cpu: bring back ggml_table_f32_f16"
This reverts commit 2dce119178aaron.teo1@ibm.com >
* fix ggml time initialization
* fix f32_f16 table init
* remove extra line
---------
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
Co-authored-by: slaren <slarengh@gmail.com >
2025-06-25 23:49:04 +02:00
b7147673f2
Add ggml_roll (ggml/1274)
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* ggml : add ggml_roll
* use set/get_op_params & std::min
2025-06-20 21:02:47 +03:00
af6f91db47
ggml : remove ggml_graph_import and ggml_graph_export declarations (ggml/1247)
...
The implementation is already deleted with commit 9d0762e.
closes : #1235
2025-06-01 13:43:57 +03:00
053b1539c0
threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling ( #12995 )
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* threading: support for GGML_SCHED_PRIO_LOW, update thread info on Windows to avoid throttling
We talked about adding LOW priority for GGML threads in the original threadpool PR.
It might be useful for some cases to avoid contention.
Latest Windows ARM64 releases started parking (offlining) the CPU cores
more aggresively which results in suboptimal performance with n_threads > 4.
To deal with that we now disable Power Throttling for our threads for the NORMAL
and higher priorities.
Co-authored-by: Diego Devesa <slarengh@gmail.com >
* threading: disable SetThreadInfo() calls for older Windows versions
* Update tools/llama-bench/llama-bench.cpp
Co-authored-by: Diego Devesa <slarengh@gmail.com >
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com >
2025-05-31 15:39:19 -07:00
a8ea03d8ad
ggml : add ggml_repeat_4d ( #13824 )
2025-05-27 15:53:55 +02:00
e16c4731c7
ggml : fix the order of ggml_unary_op ( #13718 )
2025-05-23 08:12:48 +02:00
cf4cb59e64
ggml : add ggml_gelu_erf() ( #13667 )
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* ggml : add ggml_gelu_na (not approximated)
* fix naming order
* rename na --> erf
* apply review suggesions
* revert naming order
2025-05-21 16:26:33 +02:00
6c35981a64
mnist: fix segmentation fault (ggml/1227)
2025-05-19 13:29:56 +03:00
10d2af0eaa
llama/ggml: add LLM training support ( #10544 )
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* llama/ggml: add LLM training support
more compact progress bar
llama_save_model_to_file
llama_opt_param_filter
ggml_graph_dup force_grads
refactor ggml_opt, fix test-opt
* remove logits_all
* refactor CUDA implementation for ACC
* reset graph at beginning of opt period
2025-05-12 14:44:49 +02:00
7f323a589f
Add --no-op-offload to improve -ot pp perf in MoE models like llama4 400B ( #13386 )
2025-05-11 14:18:39 +02:00
2356fb1d53
CUDA: fix bad asserts for partial offload ( #13337 )
2025-05-06 13:58:51 +02:00
9070365020
CUDA: fix logic for clearing padding with -ngl 0 ( #13320 )
2025-05-05 22:32:13 +02:00
4254bb4951
ggml : fix ggml_gallocr_ptr type (ggml/1205)
2025-05-01 09:58:44 +03:00
69699be48a
CUDA: fix q_nope_absorbed prec for DS 2 Lite f16 ( #13137 )
2025-04-28 09:29:26 +02:00
77d5e9a76a
ggml: move fp16/bf16 conversion optimizations to CPU backend + export conversion APIs ( #13107 )
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* ggml: dynamic x86_64 feature detection for FP32 <-> FP16/BF16 conversion
* move fp converter to ggml-cpu
* Switch ggml_compute_forward_get_rows_f16/bf16 to new ggml_cpu_fp16/bf16_to_fp32
2025-04-26 16:05:31 +02:00
553a5c3a9f
rpc : do not wait for response when sending RPC_CMD_SET_TENSOR ( #12943 )
...
RPC_CMD_SET_TENSOR always returns an empty response and we send this 4
times per token. We can improve TG speed if we don't wait for this empty
response.
The performance impact of this change depends on the network latency.
2025-04-25 10:08:08 +03:00
c6e8cc28c1
ggml : Depthwise 2D convolution (ggml/1152)
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* ggml-cpu : kernels for faster depthwise 2D convolution
* fix compile: remove static after moving to ops.cpp
* add dilation for depthwise_conv_2d
* review: rename to ggml_conv_2d_dw_direct, remove redundant struct keywords, pass by ref, whitespace
* review: rename depthwise_conv_2d -> conv_2d_dw everywhere
2025-04-24 17:32:47 +03:00
2db9ba1464
rpc : add RPC_CMD_HELLO ( #12955 )
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Add RPC_CMD_HELLO for getting the version of the protocol implemend by
the server. Follow the semantic versioning rules at https://semver.org
Hopefully this bring better user experience when we make breaking
changes at the protocol level and avoid issues like #12465
2025-04-18 10:13:42 +03:00
fe92821ea9
ggml : add bilinear upscale support (ggml/1185)
2025-04-11 00:17:47 +03:00
459895c326
ggml : add more generic custom op, remove deprecated custom ops (ggml/1183)
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* ggml : add more generic ggml_custom op
* ggml : remove deprecated custom ops
2025-04-11 00:17:47 +03:00
b4ae50810e
metal : improve FA + improve MoE ( #12612 )
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* ggml : FA with different K, V head sizes (CPU)
ggml-ci
* metal : add FA with HS=192
* metal : extend FA to support different K and V head sizes
ggml-ci
* metal : add FA vector kernels for heads K 192 and V 128
ggml-ci
* ggml : restrict op on other backends to equal head sizes
ggml-ci
* metal : optimize FA-vec kernel
ggml-ci
* metal : FA remove mq registers
* metal : improve MoE mul_mat_id condition
ggml-ci
* metal : fix comments + remove unnecessary addition
ggml-ci
* metal : avoid too much shared memory usage with mul_mat_id
ggml-ci
2025-03-28 20:21:59 +02:00
ab6ab8f809
rpc : send hash when tensor data is above some fixed threshold ( #12496 )
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* rpc : send hash when tensor data is above some fixed threshold
ref #10095
* rpc : put cache under $HOME/.cache/llama.cpp
* try to fix win32 build
* another try to fix win32 build
* remove llama as dependency
2025-03-28 08:18:04 +02:00
7dfad387e3
llama: Add support for RWKV v7 architecture ( #12412 )
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* ggml: Add op l2_norm
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* ggml: Add op rwkv_wkv7
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: Add support for RWKV7 and ARWKV7 models
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: fix inference with RWKV6Qwen2
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: add more (a)rwkv7 variants in size
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Apply code-format changes
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* fix MUSA build
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* llama: fix shape error with rwkv using llama-parallel
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
---------
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
2025-03-18 07:27:50 +08:00
07d1572347
ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions ( #12154 )
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* ggml-cpu: Faster IQ1 mul_mat_vec on AVX2 using BMI2 instructions
* cmake: Add GGML_BMI2 build option
* ggml: enable BMI2 on relevant CPU variants
* ggml-cpu: include BMI2 in backend score
* ggml-cpu: register BMI2 in ggml_backend_cpu_get_features
* ggml-cpu: add __BMI2__ define when using MSVC
2025-03-06 02:26:10 +01:00
5bbe6a9fe9
ggml : portability fixes for VS 2017 ( #12150 )
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* Add include files for std::min/max and std::toupper/tolower
* win32: move _USE_MATH_DEFINES before includes to ensure M_PI is defined
* Use GGML_RESTRICT instead of "restrict" keyword everywhere, and use "__restrict" in MSVC plain C mode
* win32: only use __restrict in MSVC if C11/C17 support is not enabled
---------
Co-authored-by: Marcus Groeber <Marcus.Groeber@cerence.com >
2025-03-04 18:53:26 +02:00
70680c48e5
ggml : upgrade init_tensor API to return a ggml_status ( #11854 )
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* Upgrade init_tensor API to return a ggml_status
To prepare for an 'abort-free' ggml
(ggml not to abort on OOMs but return a OOM status),
as agreeed with Diego in the ggml repo,
upgrade the init_tensor() and view_init() APIs
to return a ggml_status.
* misc fixes
---------
Co-authored-by: slaren <slarengh@gmail.com >
2025-02-28 14:41:47 +01:00
af7747c95a
ggml-cpu: Support s390x SIMD Instruction Set ( #12019 )
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* ggml: add s390x ARCH_FLAGS for compilation
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add SIMD for s390x using vector intrinsics
SIMD is activated for:
* ggml_vec_dot_f32
* ggml_vec_dot_f16
* ggml_vec_mad_f32
* ggml_vec_mad_f16
* ggml_vec_mad_f32_unroll
* ggml_vec_scale_f32
* ggml_vec_scale_f16
SIMD is NOT activated for:
* ggml_vec_dot_f16_unroll (pending bugfix)
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix missing escape character in GGML_F32x4_REDUCE
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add temporary patch for GGML_F32_ARR and GGML_F16_ARR
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix s390x GGML_F32x4_REDUCE
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: full SIMD activation for F32,F16 s390x
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add option to disable s390x VXE/VXE2
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: change vecintrin.h include to ggml-cpu-impl
* add __VXE__ and __VXE2__ macros
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* cmake: add s390x target detection for VX/VXE/VXE2
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: move s390x vector intrinsics to ggml-cpu-impl.h
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x Q8_0 SIMD
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: correct documentation for Q8_0
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x reduce code complexity Q8_0
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x bugfix typo Q8_0
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activated for Q4_1
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x inline vec_reve
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for Q4_0
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add VXE backend feature
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: remove test.py
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for quantize_row_q8_0
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for quantize_row_q8_1
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for iq4_xs
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: bugfix iq4_xs
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for iq4_nl
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add float, double, and long vector data type
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: clean up iq4_xs SIMD
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix improper use of restrict keyword
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: update warning message for ggml_vec_tbl
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: untested implementation of ggml_vec_dot_iq2_xxs_q8_K
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: update ggml_vec_dot_q4_1_q8_1 to use typedefs
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: switch to restrict for iq4_nl
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: slight dot product speed improvement for q4_1_q8_1
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for q6_K
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add missing `_t` to ggml_int8x16x4_t
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix missing `_t` for ggml_vec_xl_s8x4
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix more missing `_t`
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add unroll and prefetch to Q8_0
increase of 3.86% for prompt processing and 32.22% for token generation
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: patch Q8_0 to use proper vector sizes
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: optimise Q8_0 dot prod compute kernel further
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: add unroll and prefetch to Q4_1
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: refactor Q6_K variable naming for readability
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix Q6_K typos
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for Q5_K
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix wrong char*x16_t naming
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: Q5_K y0 wrong signness
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix Q5_K invalid uchar type
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix Q5_K invalid uchar type
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: s390x SIMD activation for Q4_K
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: fix Q4_K invalid vector intrinsics
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: simplify ggml_padd_s16 compute kernel
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: correct ggml-cpu vxe wording
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: change ggml_aligned_malloc alignment to 256
256 is the cache line size for s390x platforms
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: resolve pr merge via cherry-pick 225bbbfaaron.teo1@ibm.com >
* ggml : fix LoongArch compile error with 128-bit SIMD (#11701 )
* ggml: resolve pr merge via cherry-pick 4571953
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
* ggml: cmake remove fork when determining s390x machine type
thank you @ericcurtin
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
---------
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com >
Co-authored-by: Jinyang He <hejinyang@loongson.cn >
Co-authored-by: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com >
2025-02-22 21:39:24 +00:00
c5d91a7400
ggml-cpu: Add CPU backend support for KleidiAI library ( #11390 )
...
* ggml-cpu: Add CPU backend support for KleidiAI library
* Add environmental variable GGML_KLEIDIAI_SME
* Add support for multithread LHS conversion
* Switch kernel selection order to dotprod and i8mm
* updates for review comments
* More updates for review comments
* Reorganize and rename KleidiAI files
* Move ggml-cpu-traits.h to source file
* Update cmake for SME build and add alignment for SME
* Remove append GGML_USE_CPU_KLEIDIAI to the GGML_CDEF_PUBLIC list
2025-02-20 15:06:51 +02:00
68ff663a04
repo : update links to new url ( #11886 )
...
* repo : update links to new url
ggml-ci
* cont : more urls
ggml-ci
2025-02-15 16:40:57 +02:00
fef0cbeadf
cleanup: fix compile warnings associated with gnu_printf ( #11811 )
2025-02-12 10:06:53 -04:00
c2a67efe38
vulkan: Make Vulkan optional at runtime ( #11493 ). ( #11494 )
...
Co-authored-by: Jeff Bolz <jbolz@nvidia.com >
2025-02-10 07:17:21 +01:00
864a0b67a6
CUDA: use mma PTX instructions for FlashAttention ( #11583 )
...
* CUDA: use mma PTX instructions for FlashAttention
* __shfl_sync workaround for movmatrix
* add __shfl_sync to HIP
Co-authored-by: Diego Devesa <slarengh@gmail.com >
2025-02-02 19:31:09 +01:00
667d72846c
rpc : early register backend devices ( #11262 )
...
Early register RPC devices and do not propagate RPC specifics in the
llama model structures.
ref: #10609
2025-01-17 10:57:09 +02:00
9c8dcefe17
CUDA: backwards pass for misc. ops, add tests ( #11257 )
...
* CUDA: backwards pass for misc. ops, add tests
* remove restrict from pointers
2025-01-16 16:43:38 +01:00
432df2d5f9
RoPE: fix back, CUDA support for back + noncont. ( #11240 )
...
* RoPE: fix back, CUDA support for back + noncont.
* fix comments reg. non-cont. RoPE support [no-ci]
2025-01-15 12:51:37 +01:00
ee7136c6d1
llama: add support for QRWKV6 model architecture ( #11001 )
...
llama: add support for QRWKV6 model architecture (#11001 )
* WIP: Add support for RWKV6Qwen2
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* RWKV: Some graph simplification
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Add support for RWKV6Qwen2 with cpu and cuda GLA
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* RWKV6[QWEN2]: Concat lerp weights together to reduce cpu overhead
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Fix some typos
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* code format changes
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Fix wkv test & add gla test
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Fix cuda warning
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Update README.md
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* Update ggml/src/ggml-cuda/gla.cu
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Fix fused lerp weights loading with RWKV6
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
* better sanity check skipping for QRWKV6 in llama-quant
thanks @compilade
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
Co-authored-by: compilade <git@compilade.net >
---------
Signed-off-by: Molly Sophia <mollysophia379@gmail.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
Co-authored-by: compilade <git@compilade.net >
2025-01-10 09:58:08 +08:00
53ff6b9b9f
GGUF: C++ refactor, backend support, misc fixes ( #11030 )
...
* GGUF: C++ refactor, backend support, misc fixes
remove ggml_tensor.backend
update CODEOWNERS [no ci]
remove gguf_get_data from API
revise GGUF API data types
2025-01-07 18:01:58 +01:00
0bf2d10c55
tts : add OuteTTS support ( #10784 )
...
* server : add "tokens" output
ggml-ci
* server : output embeddings for all tokens when pooling = none
ggml-ci
* server : be explicit about the pooling type in the tests
ggml-ci
* server : do not normalize embeddings when there is no pooling
ggml-ci
* llama : add OuteTTS support (wip)
* wip
* extract features
* first conv
* group norm
* resnet conv
* resnet
* attn
* pos net
* layer norm
* convnext
* head
* hann window
* fix n_embd + remove llama.cpp hacks
* compute hann window
* fft
* spectrum processing
* clean-up
* tts : receive input text and generate codes
* clip : fix new conv name
* tts : minor fix
* tts : add header + minor fixes
ggml-ci
* tts : add matchematical constant
ggml-ci
* tts : fix sampling + cut initial noise
* tts : fixes
* tts : update default samplers
ggml-ci
* tts : text pre-processing
* tts : outetts-voc -> wavtokenizer-dec
* tts : remove hardcoded constants
ggml-ci
* tts : fix tensor shapes
* llama : refactor wavtokenizer tensors
ggml-ci
* cont
ggml-ci
* cont [no ci]
* llama : update WavTokenizer to non-causal attn
* llama : handle no-vocab detokenization
* tts : add Python example for OuteTTS (wip)
* tts : extend python example to generate spectrogram
ggml-ci
* server : fix rebase artifacts
* tts : enable "return_tokens" in Python example
ggml-ci
* tts : minor fixes
* common : support HF download for vocoder
2024-12-18 19:27:21 +02:00
ba1cb19cdd
llama : add Qwen2VL support + multimodal RoPE ( #10361 )
...
* Barebone Qwen2VL LLM convertor
* Add Qwen2VL cli entrypoint
* [WIP] add qwen2vl arch
* Verify m-rope output
* Add vl-rope/2d-rope support for qwen2vl ViT
* update qwen2vl cli tool
* update 5D tensor op workaround
* [WIP] qwen2vl vision model
* make batch and clip utils compatible with qwen2vl
* [WIP] create inference workflow, gguf convert script but fix
* correcting vision-rope behavior, add the missing last layer back to ViT
* add arg parser to qwen2vl_surgery
* replace variable size array with vector
* cuda-gdb cmake preset
* add fp32 mrope, vision rope kernel
* add fp16 support for qwen2vl and m-rope
* add `GGML_ROPE_TYPE_MROPE`, `GGML_ROPE_TYPE_VISION`
* fix rope op mode switching, out dated func args
* update `llama_hparams`
* update to keep up stream changes
* resolve linter, test errors
* add makefile entry, update speical image padding token
* add mrope unit test, fix few compiler warnings
* rename `mrope` related function, params
* minor updates on debug util, bug fixs
* add `m-rope` testcase to `test-backend-ops`
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* fix traililng whitespce
* store `llama_hparams.rope_sections` with fixed size array
* update position id tensor size check in GGML_OP_ROPE
* minor updates
* update `ggml_backend_*_supports_op` of unsupported backends
* remote old `rope_section` compare operator
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-12-14 14:43:46 +02:00
a76c56fa1a
Introducing experimental OpenCL backend with support for Qualcomm Adreno GPUs ( #10693 )
...
* [cl][adreno] Add Adreno GPU support
Add new OpenCL backend to support Adreno GPUs
---------
Co-authored-by: Skyler Szot <quic_sszot@quicinc.com >
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com >
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com >
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com >
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com >
* [cl][ci] Add workflow for CL
* [cl][adreno] Fix memory leak for non SMALL_ALLOC path
* opencl: integrate backend dyn.load interface and fix compiler and format warnings
* opencl: remove small-alloc support and fix build errors for non-opencl platforms
* opencl: fixed merge conflict (MUSA added twice in cmake)
* opencl-ci: use RUNNER_TEMP instead of github.workspace
* opencl: fix embed tool invocation with python3
* opencl: CI workflow fixes
* opencl: Clean up small-alloc in CMake files
* opencl: cleanup ggml-opencl2 header file
* opencl: use ulong for offsets and strides in ADD kernel
* opencl: use cl_ulong for all offsets
* opencl: use cl_ulong for sizes and strides
* opencl: use `GGML_LOG_xxx` instead of `fprintf(stderr, ...)`
* opencl: rename backend `opencl2` -> `opencl`
* opencl: rename kernel files `ggml-opencl2` -> `ggml-opencl`
* opencl: make OpenCL required, remove redundant lib and inc directories
* `ggml-base`, `..` and `.` are added by `ggml_add_backend_library`
* opencl: rename backend - funcs, structs, etc `opencl2` -> `opencl`
* opencl: remove copyright marker since main license already covers
* opencl: replace some more OPENCL2 leftovers
* opencl: remove limits on `tensor_extra`
* opencl: use pools for `tensor_extra`
* opencl: fix compiler warnings with GCC and Clang
Still getting the warning about clCreateCmdQueue being obsolete.
Will fix that separately.
* opencl: fail gracefully if opencl devices are not available
Also for unsupported GPUs.
* opencl: fix MSVC builds (string length error)
* opencl: check for various requirements, allow deprecated API
* opencl: update log message for unsupported GPUs
---------
Co-authored-by: Skyler Szot <quic_sszot@quicinc.com >
Co-authored-by: Shangqing Gu <quic_shawngu@quicinc.com >
Co-authored-by: Alexander Angus <quic_aangus@quicinc.com >
Co-authored-by: Hongqiang Wang <quic_wangh@quicinc.com >
Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com >
2024-12-13 12:23:52 -08:00
43041d2eb3
ggml: load all backends from a user-provided search path ( #10699 )
...
* feat: load all backends from a user-provided search path
* fix: Windows search path
* refactor: rename `ggml_backend_load_all_in_search_path` to `ggml_backend_load_all_from_path`
* refactor: rename `search_path` to `dir_path`
* fix: change `NULL` to `nullptr`
Co-authored-by: Diego Devesa <slarengh@gmail.com >
* fix: change `NULL` to `nullptr`
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com >
2024-12-11 01:47:21 +01:00
19d8762ab6
ggml : refactor online repacking ( #10446 )
...
* rename ggml-cpu-aarch64.c to .cpp
* reformat extra cpu backend.
- clean Q4_0_N_M and IQ4_0_N_M
- remove from "file" tensor type
- allow only with dynamic repack
- extract cpu extra bufts and convert to C++
- hbm
- "aarch64"
- more generic use of extra buffer
- generalise extra_supports_op
- new API for "cpu-accel":
- amx
- aarch64
* clang-format
* Clean Q4_0_N_M ref
Enable restrict on C++
* add op GGML_OP_MUL_MAT_ID for Q4_0_N_M with runtime repack
* added/corrected control on tensor size for Q4 repacking.
* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* Update ggml/src/ggml-cpu/ggml-cpu-aarch64.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
* add debug logs on repacks.
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-12-07 14:37:50 +02:00
c2082d93a8
ggml : add GGML_PAD_REFLECT_1D operation (ggml/1034)
...
* ggml_pad_reflect_1d defined in header
* implemented on CPU
* called the forward pass
* impl Metal kernel
* added Metal kernel
* added OP_PAD_REFLECT_1D in test-backend-ops.cpp
* add test-pad-reflect-1d test case
* test case support multiple backend
2024-12-05 13:27:31 +02:00
7cc2d2c889
ggml : move AMX to the CPU backend ( #10570 )
...
* ggml : move AMX to the CPU backend
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-11-29 21:54:58 +01:00
c202cef168
ggml-cpu: support IQ4_NL_4_4 by runtime repack ( #10541 )
...
* ggml-cpu: support IQ4_NL_4_4 by runtime repack
* ggml-cpu: add __ARM_FEATURE_DOTPROD guard
2024-11-28 13:52:03 +01:00
5931c1f233
ggml : add support for dynamic loading of backends ( #10469 )
...
* ggml : add support for dynamic loading of backends
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
2024-11-25 15:13:39 +01:00
8a43e940ab
ggml: new optimization interface (ggml/988)
2024-11-17 08:30:29 +02:00
1607a5e5b0
backend cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels ( #9921 )
...
* backend-cpu: add online flow for aarch64 Q4_0 GEMV/GEMM kernels
---------
Co-authored-by: Diego Devesa <slarengh@gmail.com >
2024-11-15 01:28:50 +01:00
ae8de6d50a
ggml : build backends as libraries ( #10256 )
...
* ggml : build backends as libraries
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com >
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com >
Co-authored-by: R0CKSTAR <xiaodong.ye@mthreads.com >
2024-11-14 18:04:35 +01:00
841f27abdb
metal : optimize FA kernels ( #10171 )
...
* ggml : add ggml_flash_attn_ext_get_prec
* metal : use F16 precision in FA kernels
ggml-ci
* metal : minor clean-up
* metal : compile-guard bf16 FA kernels
ggml-ci
* build : remove obsolete compile flag [no ci]
* metal : prevent int overflows [no ci]
* cuda : disable BF16 FA
ggml-ci
* metal : fix BF16 requirement for FA kernels
ggml-ci
* make : clean-up [no ci]
2024-11-08 13:47:22 +02:00
